Overview

Brought to you by YData

Dataset statistics

Number of variables12
Number of observations6810
Missing cells5326
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 MiB
Average record size in memory1.1 KiB

Variable types

Numeric5
Text6
URL1

Alerts

subtitle has 4429 (65.0%) missing values Missing
authors has 72 (1.1%) missing values Missing
categories has 99 (1.5%) missing values Missing
thumbnail has 329 (4.8%) missing values Missing
description has 262 (3.8%) missing values Missing
ratings_count is highly skewed (γ1 = 20.96305845) Skewed
isbn13 has unique values Unique
isbn10 has unique values Unique

Reproduction

Analysis started2025-06-09 18:09:46.057029
Analysis finished2025-06-09 18:09:50.127710
Duration4.07 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

isbn13
Real number (ℝ)

Unique 

Distinct6810
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7806766 × 1012
Minimum9.780002 × 1012
Maximum9.789042 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-06-09T20:09:50.216286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.780002 × 1012
5-th percentile9.7800609 × 1012
Q19.7803303 × 1012
median9.7805531 × 1012
Q39.78081 × 1012
95-th percentile9.7815982 × 1012
Maximum9.789042 × 1012
Range9.0399975 × 109
Interquartile range (IQR)4.7964105 × 108

Descriptive statistics

Standard deviation6.0689106 × 108
Coefficient of variation (CV)6.2050007 × 10-5
Kurtosis44.74338
Mean9.7806766 × 1012
Median Absolute Deviation (MAD)2.4075332 × 108
Skewness4.3526264
Sum6.6606408 × 1016
Variance3.6831675 × 1017
MonotonicityStrictly increasing
2025-06-09T20:09:50.342196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.780002006 × 10121
 
< 0.1%
9.780751371 × 10121
 
< 0.1%
9.780751333 × 10121
 
< 0.1%
9.780750937 × 10121
 
< 0.1%
9.780750666 × 10121
 
< 0.1%
9.780750245 × 10121
 
< 0.1%
9.780750013 × 10121
 
< 0.1%
9.780750013 × 10121
 
< 0.1%
9.780750013 × 10121
 
< 0.1%
9.780749934 × 10121
 
< 0.1%
Other values (6800) 6800
99.9%
ValueCountFrequency (%)
9.780002006 × 10121
< 0.1%
9.780002262 × 10121
< 0.1%
9.780006164 × 10121
< 0.1%
9.780006179 × 10121
< 0.1%
9.780006281 × 10121
< 0.1%
9.780006281 × 10121
< 0.1%
9.780006353 × 10121
< 0.1%
9.780006381 × 10121
< 0.1%
9.78000647 × 10121
< 0.1%
9.780006473 × 10121
< 0.1%
ValueCountFrequency (%)
9.789042003 × 10121
< 0.1%
9.789027712 × 10121
< 0.1%
9.788445075 × 10121
< 0.1%
9.788185945 × 10121
< 0.1%
9.788185301 × 10121
< 0.1%
9.788179922 × 10121
< 0.1%
9.788173031 × 10121
< 0.1%
9.788172235 × 10121
< 0.1%
9.788171566 × 10121
< 0.1%
9.788125027 × 10121
< 0.1%

isbn10
Text

Unique 

Distinct6810
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size445.7 KiB
2025-06-09T20:09:50.614625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters68100
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6810 ?
Unique (%)100.0%

Sample

1st row0002005883
2nd row0002261987
3rd row0006163831
4th row0006178731
5th row0006280897
ValueCountFrequency (%)
0002005883 1
 
< 0.1%
0006178731 1
 
< 0.1%
0006280935 1
 
< 0.1%
0006353282 1
 
< 0.1%
0006380832 1
 
< 0.1%
000647022x 1
 
< 0.1%
0006472613 1
 
< 0.1%
0006479677 1
 
< 0.1%
0006480098 1
 
< 0.1%
0006482074 1
 
< 0.1%
Other values (6800) 6800
99.9%
2025-06-09T20:09:50.908790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12639
18.6%
1 7755
11.4%
4 6916
10.2%
5 6381
9.4%
3 6304
9.3%
7 5774
8.5%
2 5708
8.4%
8 5524
8.1%
6 5473
8.0%
9 5051
 
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68100
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 12639
18.6%
1 7755
11.4%
4 6916
10.2%
5 6381
9.4%
3 6304
9.3%
7 5774
8.5%
2 5708
8.4%
8 5524
8.1%
6 5473
8.0%
9 5051
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68100
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 12639
18.6%
1 7755
11.4%
4 6916
10.2%
5 6381
9.4%
3 6304
9.3%
7 5774
8.5%
2 5708
8.4%
8 5524
8.1%
6 5473
8.0%
9 5051
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68100
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 12639
18.6%
1 7755
11.4%
4 6916
10.2%
5 6381
9.4%
3 6304
9.3%
7 5774
8.5%
2 5708
8.4%
8 5524
8.1%
6 5473
8.0%
9 5051
 
7.4%

title
Text

Distinct6398
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size519.7 KiB
2025-06-09T20:09:51.083110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length324
Median length88
Mean length20.793833
Min length1

Characters and Unicode

Total characters141606
Distinct characters154
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6090 ?
Unique (%)89.4%

Sample

1st rowGilead
2nd rowSpider's Web
3rd rowThe One Tree
4th rowRage of angels
5th rowThe Four Loves
ValueCountFrequency (%)
the 3066
 
12.5%
of 1390
 
5.7%
and 562
 
2.3%
a 440
 
1.8%
in 302
 
1.2%
to 237
 
1.0%
on 156
 
0.6%
136
 
0.6%
for 116
 
0.5%
stories 100
 
0.4%
Other values (6567) 18070
73.5%
2025-06-09T20:09:51.484805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17765
 
12.5%
e 14362
 
10.1%
o 8971
 
6.3%
a 8206
 
5.8%
i 7725
 
5.5%
r 7453
 
5.3%
n 7450
 
5.3%
t 7275
 
5.1%
s 6349
 
4.5%
h 5866
 
4.1%
Other values (144) 50184
35.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 141606
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
17765
 
12.5%
e 14362
 
10.1%
o 8971
 
6.3%
a 8206
 
5.8%
i 7725
 
5.5%
r 7453
 
5.3%
n 7450
 
5.3%
t 7275
 
5.1%
s 6349
 
4.5%
h 5866
 
4.1%
Other values (144) 50184
35.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 141606
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
17765
 
12.5%
e 14362
 
10.1%
o 8971
 
6.3%
a 8206
 
5.8%
i 7725
 
5.5%
r 7453
 
5.3%
n 7450
 
5.3%
t 7275
 
5.1%
s 6349
 
4.5%
h 5866
 
4.1%
Other values (144) 50184
35.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 141606
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
17765
 
12.5%
e 14362
 
10.1%
o 8971
 
6.3%
a 8206
 
5.8%
i 7725
 
5.5%
r 7453
 
5.3%
n 7450
 
5.3%
t 7275
 
5.1%
s 6349
 
4.5%
h 5866
 
4.1%
Other values (144) 50184
35.4%

subtitle
Text

Missing 

Distinct2009
Distinct (%)84.4%
Missing4429
Missing (%)65.0%
Memory size353.0 KiB
2025-06-09T20:09:51.715402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length211
Median length113
Mean length34.640487
Min length1

Characters and Unicode

Total characters82479
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1938 ?
Unique (%)81.4%

Sample

1st rowA Novel
2nd rowA History of the Indian Ocean and Its Invaders
3rd rowChaos and Order
4th rowThe Complete Short Stories
5th rowA Memoir
ValueCountFrequency (%)
the 1279
 
9.1%
of 845
 
6.0%
a 825
 
5.9%
and 580
 
4.1%
novel 303
 
2.2%
in 222
 
1.6%
to 209
 
1.5%
140
 
1.0%
an 138
 
1.0%
life 97
 
0.7%
Other values (3995) 9366
66.9%
2025-06-09T20:09:52.190447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11623
14.1%
e 7539
 
9.1%
o 5568
 
6.8%
i 4788
 
5.8%
n 4624
 
5.6%
t 4557
 
5.5%
a 4490
 
5.4%
r 4268
 
5.2%
s 3494
 
4.2%
l 2689
 
3.3%
Other values (86) 28839
35.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 82479
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
11623
14.1%
e 7539
 
9.1%
o 5568
 
6.8%
i 4788
 
5.8%
n 4624
 
5.6%
t 4557
 
5.5%
a 4490
 
5.4%
r 4268
 
5.2%
s 3494
 
4.2%
l 2689
 
3.3%
Other values (86) 28839
35.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 82479
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
11623
14.1%
e 7539
 
9.1%
o 5568
 
6.8%
i 4788
 
5.8%
n 4624
 
5.6%
t 4557
 
5.5%
a 4490
 
5.4%
r 4268
 
5.2%
s 3494
 
4.2%
l 2689
 
3.3%
Other values (86) 28839
35.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 82479
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
11623
14.1%
e 7539
 
9.1%
o 5568
 
6.8%
i 4788
 
5.8%
n 4624
 
5.6%
t 4557
 
5.5%
a 4490
 
5.4%
r 4268
 
5.2%
s 3494
 
4.2%
l 2689
 
3.3%
Other values (86) 28839
35.0%

authors
Text

Missing 

Distinct3780
Distinct (%)56.1%
Missing72
Missing (%)1.1%
Memory size504.6 KiB
2025-06-09T20:09:52.391222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length456
Median length123
Mean length17.798753
Min length3

Characters and Unicode

Total characters119928
Distinct characters164
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2865 ?
Unique (%)42.5%

Sample

1st rowMarilynne Robinson
2nd rowCharles Osborne;Agatha Christie
3rd rowStephen R. Donaldson
4th rowSidney Sheldon
5th rowClive Staples Lewis
ValueCountFrequency (%)
john 230
 
1.3%
william 143
 
0.8%
james 140
 
0.8%
david 130
 
0.8%
robert 121
 
0.7%
stephen 116
 
0.7%
j 113
 
0.7%
r 99
 
0.6%
richard 97
 
0.6%
m 93
 
0.5%
Other values (5519) 15893
92.5%
2025-06-09T20:09:52.715317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 10462
 
8.7%
10437
 
8.7%
a 9899
 
8.3%
r 7955
 
6.6%
n 7736
 
6.5%
i 7128
 
5.9%
o 6527
 
5.4%
l 5905
 
4.9%
s 4532
 
3.8%
t 4330
 
3.6%
Other values (154) 45017
37.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 119928
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 10462
 
8.7%
10437
 
8.7%
a 9899
 
8.3%
r 7955
 
6.6%
n 7736
 
6.5%
i 7128
 
5.9%
o 6527
 
5.4%
l 5905
 
4.9%
s 4532
 
3.8%
t 4330
 
3.6%
Other values (154) 45017
37.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 119928
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 10462
 
8.7%
10437
 
8.7%
a 9899
 
8.3%
r 7955
 
6.6%
n 7736
 
6.5%
i 7128
 
5.9%
o 6527
 
5.4%
l 5905
 
4.9%
s 4532
 
3.8%
t 4330
 
3.6%
Other values (154) 45017
37.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 119928
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 10462
 
8.7%
10437
 
8.7%
a 9899
 
8.3%
r 7955
 
6.6%
n 7736
 
6.5%
i 7128
 
5.9%
o 6527
 
5.4%
l 5905
 
4.9%
s 4532
 
3.8%
t 4330
 
3.6%
Other values (154) 45017
37.5%

categories
Text

Missing 

Distinct567
Distinct (%)8.4%
Missing99
Missing (%)1.5%
Memory size454.5 KiB
2025-06-09T20:09:52.898714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length50
Median length49
Mean length11.837282
Min length3

Characters and Unicode

Total characters79440
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)5.8%

Sample

1st rowFiction
2nd rowDetective and mystery stories
3rd rowAmerican fiction
4th rowFiction
5th rowChristian life
ValueCountFrequency (%)
fiction 3254
30.4%
835
 
7.8%
juvenile 656
 
6.1%
biography 404
 
3.8%
autobiography 404
 
3.8%
history 266
 
2.5%
literary 239
 
2.2%
science 191
 
1.8%
criticism 168
 
1.6%
philosophy 163
 
1.5%
Other values (688) 4122
38.5%
2025-06-09T20:09:53.223944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 12250
15.4%
o 7439
 
9.4%
t 6049
 
7.6%
n 5949
 
7.5%
c 5234
 
6.6%
e 4255
 
5.4%
3991
 
5.0%
r 3583
 
4.5%
F 3336
 
4.2%
a 2903
 
3.7%
Other values (65) 24451
30.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 79440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 12250
15.4%
o 7439
 
9.4%
t 6049
 
7.6%
n 5949
 
7.5%
c 5234
 
6.6%
e 4255
 
5.4%
3991
 
5.0%
r 3583
 
4.5%
F 3336
 
4.2%
a 2903
 
3.7%
Other values (65) 24451
30.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 79440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 12250
15.4%
o 7439
 
9.4%
t 6049
 
7.6%
n 5949
 
7.5%
c 5234
 
6.6%
e 4255
 
5.4%
3991
 
5.0%
r 3583
 
4.5%
F 3336
 
4.2%
a 2903
 
3.7%
Other values (65) 24451
30.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 79440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 12250
15.4%
o 7439
 
9.4%
t 6049
 
7.6%
n 5949
 
7.5%
c 5234
 
6.6%
e 4255
 
5.4%
3991
 
5.0%
r 3583
 
4.5%
F 3336
 
4.2%
a 2903
 
3.7%
Other values (65) 24451
30.8%

thumbnail
URL

Missing 

Distinct6481
Distinct (%)100.0%
Missing329
Missing (%)4.8%
Memory size1020.0 KiB
http://books.google.com/books/content?id=KQZCPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api
 
1
http://books.google.com/books/content?id=LFabPwAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api
 
1
http://books.google.com/books/content?id=QBdGPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api
 
1
http://books.google.com/books/content?id=MmahV_o4oh4C&printsec=frontcover&img=1&zoom=1&edge=curl&source=gbs_api
 
1
http://books.google.com/books/content?id=fAVFHQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api
 
1
Other values (6476)
6476 
(Missing)
 
329
ValueCountFrequency (%)
http://books.google.com/books/content?id=KQZCPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=LFabPwAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=QBdGPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=MmahV_o4oh4C&printsec=frontcover&img=1&zoom=1&edge=curl&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=fAVFHQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=ISc8HQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=JnPGOQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=7PZKPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=wPoLAAAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
http://books.google.com/books/content?id=4IgNAQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
Other values (6471) 6471
95.0%
(Missing) 329
 
4.8%
ValueCountFrequency (%)
http 6481
95.2%
(Missing) 329
 
4.8%
ValueCountFrequency (%)
books.google.com 6481
95.2%
(Missing) 329
 
4.8%
ValueCountFrequency (%)
/books/content 6481
95.2%
(Missing) 329
 
4.8%
ValueCountFrequency (%)
id=KQZCPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=t22BPwAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=5qqvOQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=QBdGPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=MmahV_o4oh4C&printsec=frontcover&img=1&zoom=1&edge=curl&source=gbs_api 1
 
< 0.1%
id=fAVFHQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=ISc8HQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=JnPGOQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=7PZKPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
id=wPoLAAAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_api 1
 
< 0.1%
Other values (6471) 6471
95.0%
(Missing) 329
 
4.8%
ValueCountFrequency (%)
6481
95.2%
(Missing) 329
 
4.8%

description
Text

Missing 

Distinct6474
Distinct (%)98.9%
Missing262
Missing (%)3.8%
Memory size3.8 MiB
2025-06-09T20:09:53.459824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5786
Median length1481
Mean length412.16982
Min length1

Characters and Unicode

Total characters2698888
Distinct characters175
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6421 ?
Unique (%)98.1%

Sample

1st rowA NOVEL THAT READERS and critics have been eagerly anticipating for over a decade, Gilead is an astonishingly imagined story of remarkable lives. John Ames is a preacher, the son of a preacher and the grandson (both maternal and paternal) of preachers. It’s 1956 in Gilead, Iowa, towards the end of the Reverend Ames’s life, and he is absorbed in recording his family’s story, a legacy for the young son he will never see grow up. Haunted by his grandfather’s presence, John tells of the rift between his grandfather and his father: the elder, an angry visionary who fought for the abolitionist cause, and his son, an ardent pacifist. He is troubled, too, by his prodigal namesake, Jack (John Ames) Boughton, his best friend’s lost son who returns to Gilead searching for forgiveness and redemption. Told in John Ames’s joyous, rambling voice that finds beauty, humour and truth in the smallest of life’s details, Gilead is a song of celebration and acceptance of the best and the worst the world has to offer. At its heart is a tale of the sacred bonds between fathers and sons, pitch-perfect in style and story, set to dazzle critics and readers alike.
2nd rowA new 'Christie for Christmas' -- a full-length novel adapted from her acclaimed play by Charles Osborne Following BLACK COFFEE and THE UNEXPECTED GUEST comes the final Agatha Christie play novelisation, bringing her superb storytelling to a new legion of fans. Clarissa, the wife of a Foreign Office diplomat, is given to daydreaming. 'Supposing I were to come down one morning and find a dead body in the library, what should I do?' she muses. Clarissa has her chance to find out when she discovers a body in the drawing-room of her house in Kent. Desperate to dispose of the body before her husband comes home with an important foreign politician, Clarissa persuades her three house guests to become accessories and accomplices. It seems that the murdered man was not unknown to certain members of the house party (but which ones?), and the search begins for the murderer and the motive, while at the same time trying to persuade a police inspector that there has been no murder at all... SPIDER'S WEB was written in 1954 specifically for Margaret Lockwood and opened first at the Theatre Royal Nottingham before moving to the Savoy Theatre in London on 14 December 1954. With THE MOUSETRAP and WI
3rd rowVolume Two of Stephen Donaldson's acclaimed second trilogy featuing the compelling anti-hero Thomas Covenant.
4th rowA memorable, mesmerizing heroine Jennifer -- brilliant, beautiful, an attorney on the way up until the Mafia's schemes win her the hatred of an implacable enemy -- and a love more destructive than hate. A dangerous, dramatic world The Dark Arena of organized crime and flashbulb lit courtrooms where ambitious prosecutors begin their climb to political power.
5th rowLewis' work on the nature of love divides love into four categories; Affection, Friendship, Eros and Charity. The first three come naturally to humanity. Charity, however, the Gift-love of God, is divine, and without this supernatural love, the natural loves become distorted and even dangerous.
ValueCountFrequency (%)
the 28526
 
6.5%
of 19279
 
4.4%
and 17734
 
4.1%
a 13376
 
3.1%
to 9980
 
2.3%
in 8338
 
1.9%
is 4660
 
1.1%
his 4191
 
1.0%
with 3395
 
0.8%
for 3238
 
0.7%
Other values (36595) 324323
74.2%
2025-06-09T20:09:53.816681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430492
16.0%
e 255303
 
9.5%
t 178671
 
6.6%
a 171555
 
6.4%
i 163753
 
6.1%
o 160792
 
6.0%
n 159328
 
5.9%
s 147300
 
5.5%
r 141856
 
5.3%
h 103983
 
3.9%
Other values (165) 785855
29.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2698888
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
430492
16.0%
e 255303
 
9.5%
t 178671
 
6.6%
a 171555
 
6.4%
i 163753
 
6.1%
o 160792
 
6.0%
n 159328
 
5.9%
s 147300
 
5.5%
r 141856
 
5.3%
h 103983
 
3.9%
Other values (165) 785855
29.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2698888
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
430492
16.0%
e 255303
 
9.5%
t 178671
 
6.6%
a 171555
 
6.4%
i 163753
 
6.1%
o 160792
 
6.0%
n 159328
 
5.9%
s 147300
 
5.5%
r 141856
 
5.3%
h 103983
 
3.9%
Other values (165) 785855
29.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2698888
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
430492
16.0%
e 255303
 
9.5%
t 178671
 
6.6%
a 171555
 
6.4%
i 163753
 
6.1%
o 160792
 
6.0%
n 159328
 
5.9%
s 147300
 
5.5%
r 141856
 
5.3%
h 103983
 
3.9%
Other values (165) 785855
29.1%

published_year
Real number (ℝ)

Distinct94
Distinct (%)1.4%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1998.6304
Minimum1853
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-06-09T20:09:53.917270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1853
5-th percentile1979
Q11996
median2002
Q32005
95-th percentile2006
Maximum2019
Range166
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.484257
Coefficient of variation (CV)0.0052457209
Kurtosis20.849691
Mean1998.6304
Median Absolute Deviation (MAD)4
Skewness-3.4111769
Sum13598681
Variance109.91965
MonotonicityNot monotonic
2025-06-09T20:09:54.040375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2006 894
13.1%
2005 691
 
10.1%
2004 617
 
9.1%
2003 580
 
8.5%
2002 481
 
7.1%
2001 394
 
5.8%
2000 357
 
5.2%
1999 273
 
4.0%
1998 271
 
4.0%
2007 267
 
3.9%
Other values (84) 1979
29.1%
ValueCountFrequency (%)
1853 1
< 0.1%
1876 2
< 0.1%
1901 1
< 0.1%
1904 1
< 0.1%
1914 1
< 0.1%
1925 2
< 0.1%
1926 1
< 0.1%
1927 1
< 0.1%
1928 1
< 0.1%
1929 1
< 0.1%
ValueCountFrequency (%)
2019 7
0.1%
2018 1
 
< 0.1%
2017 4
 
0.1%
2015 5
0.1%
2014 2
 
< 0.1%
2013 3
 
< 0.1%
2012 5
0.1%
2011 10
0.1%
2010 10
0.1%
2009 12
0.2%

average_rating
Real number (ℝ)

Distinct200
Distinct (%)3.0%
Missing43
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean3.9332836
Minimum0
Maximum5
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-06-09T20:09:54.172807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.44
Q13.77
median3.96
Q34.13
95-th percentile4.38
Maximum5
Range5
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.33135161
Coefficient of variation (CV)0.084242999
Kurtosis29.675183
Mean3.9332836
Median Absolute Deviation (MAD)0.18
Skewness-2.869916
Sum26616.53
Variance0.10979389
MonotonicityNot monotonic
2025-06-09T20:09:54.299571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 126
 
1.9%
3.93 112
 
1.6%
3.95 112
 
1.6%
3.99 108
 
1.6%
3.96 107
 
1.6%
4.06 105
 
1.5%
3.89 105
 
1.5%
3.87 103
 
1.5%
4.04 102
 
1.5%
3.94 102
 
1.5%
Other values (190) 5685
83.5%
ValueCountFrequency (%)
0 10
0.1%
2 4
 
0.1%
2.33 1
 
< 0.1%
2.44 1
 
< 0.1%
2.5 2
 
< 0.1%
2.51 1
 
< 0.1%
2.55 1
 
< 0.1%
2.62 3
 
< 0.1%
2.67 4
 
0.1%
2.75 1
 
< 0.1%
ValueCountFrequency (%)
5 10
0.1%
4.91 1
 
< 0.1%
4.88 1
 
< 0.1%
4.82 1
 
< 0.1%
4.78 1
 
< 0.1%
4.76 2
 
< 0.1%
4.75 3
 
< 0.1%
4.73 1
 
< 0.1%
4.72 1
 
< 0.1%
4.71 1
 
< 0.1%

num_pages
Real number (ℝ)

Distinct915
Distinct (%)13.5%
Missing43
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean348.18103
Minimum0
Maximum3342
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-06-09T20:09:54.426575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76
Q1208
median304
Q3420
95-th percentile773
Maximum3342
Range3342
Interquartile range (IQR)212

Descriptive statistics

Standard deviation242.37678
Coefficient of variation (CV)0.69612289
Kurtosis19.922176
Mean348.18103
Median Absolute Deviation (MAD)107
Skewness3.0612617
Sum2356141
Variance58746.505
MonotonicityNot monotonic
2025-06-09T20:09:54.534446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288 141
 
2.1%
320 140
 
2.1%
256 139
 
2.0%
352 123
 
1.8%
224 110
 
1.6%
304 108
 
1.6%
384 107
 
1.6%
192 106
 
1.6%
368 104
 
1.5%
240 101
 
1.5%
Other values (905) 5588
82.1%
ValueCountFrequency (%)
0 4
0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
10 5
0.1%
12 2
 
< 0.1%
13 1
 
< 0.1%
14 3
< 0.1%
16 2
 
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
3342 1
< 0.1%
3020 1
< 0.1%
2965 1
< 0.1%
2934 1
< 0.1%
2704 1
< 0.1%
2690 1
< 0.1%
2662 1
< 0.1%
2512 1
< 0.1%
2480 1
< 0.1%
2208 1
< 0.1%

ratings_count
Real number (ℝ)

Skewed 

Distinct3881
Distinct (%)57.4%
Missing43
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean21069.1
Minimum0
Maximum5629932
Zeros27
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size53.3 KiB
2025-06-09T20:09:54.658253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1159
median1018
Q35992.5
95-th percentile68346
Maximum5629932
Range5629932
Interquartile range (IQR)5833.5

Descriptive statistics

Standard deviation137620.68
Coefficient of variation (CV)6.5318727
Kurtosis634.50911
Mean21069.1
Median Absolute Deviation (MAD)988
Skewness20.963058
Sum1.425746 × 108
Variance1.8939451 × 1010
MonotonicityNot monotonic
2025-06-09T20:09:54.781983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 39
 
0.6%
10 33
 
0.5%
11 29
 
0.4%
9 29
 
0.4%
8 29
 
0.4%
2 28
 
0.4%
3 27
 
0.4%
0 27
 
0.4%
17 26
 
0.4%
12 25
 
0.4%
Other values (3871) 6475
95.1%
(Missing) 43
 
0.6%
ValueCountFrequency (%)
0 27
0.4%
1 22
0.3%
2 28
0.4%
3 27
0.4%
4 39
0.6%
5 21
0.3%
6 22
0.3%
7 22
0.3%
8 29
0.4%
9 29
0.4%
ValueCountFrequency (%)
5629932 1
< 0.1%
4367341 1
< 0.1%
2364968 1
< 0.1%
2279854 1
< 0.1%
2149872 1
< 0.1%
2115562 1
< 0.1%
2009749 1
< 0.1%
1996446 1
< 0.1%
1944099 1
< 0.1%
1861140 1
< 0.1%

Interactions

2025-06-09T20:09:49.158076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.226085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.672184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.268786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.690292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:49.250556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.321110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.762011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.346526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.787520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:49.350289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.413496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.890781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.444969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.879291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:49.433612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.490215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.982778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.517732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.975804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:49.525025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:47.582395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.164497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:48.616493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-09T20:09:49.070790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-06-09T20:09:54.851050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
average_ratingisbn13num_pagespublished_yearratings_count
average_rating1.0000.0200.155-0.0920.109
isbn130.0201.000-0.1340.116-0.204
num_pages0.155-0.1341.0000.0170.181
published_year-0.0920.1160.0171.0000.060
ratings_count0.109-0.2040.1810.0601.000

Missing values

2025-06-09T20:09:49.663968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-06-09T20:09:49.785081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-06-09T20:09:50.009324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

isbn13isbn10titlesubtitleauthorscategoriesthumbnaildescriptionpublished_yearaverage_ratingnum_pagesratings_count
097800020058830002005883GileadNaNMarilynne RobinsonFictionhttp://books.google.com/books/content?id=KQZCPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiA NOVEL THAT READERS and critics have been eagerly anticipating for over a decade, Gilead is an astonishingly imagined story of remarkable lives. John Ames is a preacher, the son of a preacher and the grandson (both maternal and paternal) of preachers. It’s 1956 in Gilead, Iowa, towards the end of the Reverend Ames’s life, and he is absorbed in recording his family’s story, a legacy for the young son he will never see grow up. Haunted by his grandfather’s presence, John tells of the rift between his grandfather and his father: the elder, an angry visionary who fought for the abolitionist cause, and his son, an ardent pacifist. He is troubled, too, by his prodigal namesake, Jack (John Ames) Boughton, his best friend’s lost son who returns to Gilead searching for forgiveness and redemption. Told in John Ames’s joyous, rambling voice that finds beauty, humour and truth in the smallest of life’s details, Gilead is a song of celebration and acceptance of the best and the worst the world has to offer. At its heart is a tale of the sacred bonds between fathers and sons, pitch-perfect in style and story, set to dazzle critics and readers alike.2004.03.85247.0361.0
197800022619820002261987Spider's WebA NovelCharles Osborne;Agatha ChristieDetective and mystery storieshttp://books.google.com/books/content?id=gA5GPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiA new 'Christie for Christmas' -- a full-length novel adapted from her acclaimed play by Charles Osborne Following BLACK COFFEE and THE UNEXPECTED GUEST comes the final Agatha Christie play novelisation, bringing her superb storytelling to a new legion of fans. Clarissa, the wife of a Foreign Office diplomat, is given to daydreaming. 'Supposing I were to come down one morning and find a dead body in the library, what should I do?' she muses. Clarissa has her chance to find out when she discovers a body in the drawing-room of her house in Kent. Desperate to dispose of the body before her husband comes home with an important foreign politician, Clarissa persuades her three house guests to become accessories and accomplices. It seems that the murdered man was not unknown to certain members of the house party (but which ones?), and the search begins for the murderer and the motive, while at the same time trying to persuade a police inspector that there has been no murder at all... SPIDER'S WEB was written in 1954 specifically for Margaret Lockwood and opened first at the Theatre Royal Nottingham before moving to the Savoy Theatre in London on 14 December 1954. With THE MOUSETRAP and WI2000.03.83241.05164.0
297800061638310006163831The One TreeNaNStephen R. DonaldsonAmerican fictionhttp://books.google.com/books/content?id=OmQawwEACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiVolume Two of Stephen Donaldson's acclaimed second trilogy featuing the compelling anti-hero Thomas Covenant.1982.03.97479.0172.0
397800061787360006178731Rage of angelsNaNSidney SheldonFictionhttp://books.google.com/books/content?id=FKo2TgANz74C&printsec=frontcover&img=1&zoom=1&source=gbs_apiA memorable, mesmerizing heroine Jennifer -- brilliant, beautiful, an attorney on the way up until the Mafia's schemes win her the hatred of an implacable enemy -- and a love more destructive than hate. A dangerous, dramatic world The Dark Arena of organized crime and flashbulb lit courtrooms where ambitious prosecutors begin their climb to political power.1993.03.93512.029532.0
497800062808970006280897The Four LovesNaNClive Staples LewisChristian lifehttp://books.google.com/books/content?id=XhQ5XsFcpGIC&printsec=frontcover&img=1&zoom=1&source=gbs_apiLewis' work on the nature of love divides love into four categories; Affection, Friendship, Eros and Charity. The first three come naturally to humanity. Charity, however, the Gift-love of God, is divine, and without this supernatural love, the natural loves become distorted and even dangerous.2002.04.15170.033684.0
597800062809340006280935The Problem of PainNaNClive Staples LewisChristian lifehttp://books.google.com/books/content?id=Kk-uVe5QK-gC&printsec=frontcover&img=1&zoom=1&source=gbs_api"In The Problem of Pain, C.S. Lewis, one of the most renowned Christian authors and thinkers, examines a universally applicable question within the human condition: If God is good and all-powerful, why does he allow his creatures to suffer pain? With his signature wealth of compassion and insight, C.S. Lewis offers answers to these crucial questions and shares his hope and wisdom to help heal a world hungering for a true understanding of human nature."--Amazon.2002.04.09176.037569.0
697800063532870006353282An AutobiographyNaNAgatha ChristieAuthors, Englishhttp://books.google.com/books/content?id=c49GQwAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiDonation.1977.04.27560.03975.0
797800063808320006380832Empires of the MonsoonA History of the Indian Ocean and Its InvadersRichard HallAfrica, Easthttp://books.google.com/books/content?id=MuPEQgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiUntil Vasco da Gama discovered the sea-route to the East in 1497-9 almost nothing was known in the West of the exotic cultures and wealth of the Indian Ocean and its peoples. It is this civilization and its destruction at the hands of the West that Richard Hall recreates in this book. Hall's history of the exploration and exploitation by Chinese and Arab travellers, and by the Portuguese, Dutch and British alike is one of brutality, betrayal and colonial ambition.1998.04.41608.065.0
89780006470229000647022XThe Gap Into MadnessChaos and OrderStephen R. DonaldsonHyland, Morn (Fictitious character)http://books.google.com/books/content?id=4oXavLNDWocC&printsec=frontcover&img=1&zoom=1&source=gbs_apiA new-cover reissue of the fourth book in the bestselling five-volume sf series created by the world-famous author of the Thomas Covenant chronicles -- and acclaimed as the 'best work of his career'. Events were not moving as the Amnion had intended. Once again humans had been false in their dealings with the aliens. As the planetoid Thanatos Minor exploded into atoms, the Trumpet hurtled into space only one step ahead of hostile pursuers. On board were Morn Hyland and her force-grown son Davies, cyborg Angus Thermopyle and Captain Nick Succorso -- old enemies thrown together in a desperate bid for survival. For both the Amnion and the UMCP, the immediate capture of the fleeing ship and the secrets it contained was imperative. But for Trumpet's exhausted crew the only hope lay in an illegal lab in the distant binary solar system of Valdor Industrial. It would be a journey of unpredictable danger -- from which not all would return...1994.04.15743.0103.0
997800064726120006472613Master of the GameNaNSidney SheldonAdventure storieshttp://books.google.com/books/content?id=TkTYp-Tp6_IC&printsec=frontcover&img=1&zoom=1&source=gbs_apiKate Blackwell is an enigma and one of the most powerful women in the world. But at her ninetieth birthday celebrations there are ghosts of absent friends and absent enemies.1982.04.11489.043540.0
isbn13isbn10titlesubtitleauthorscategoriesthumbnaildescriptionpublished_yearaverage_ratingnum_pagesratings_count
680097881250266008125026606Nietzsche For BeginnersNaNMarc SautetNaNhttp://books.google.com/books/content?id=fPIv8f02EtYC&printsec=frontcover&img=1&zoom=1&source=gbs_apiNot only does Nietzsche for Beginners delve into the scandalous life and considerable works of Friedrich Nietzsche, it also gives a clear picture of the puzzling time in which he lived. We meet the Luminaries of the day Richard Wagner, Bismarck, Frued, and Darwin, and see their influence on his work.2004.03.26192.021.0
680197881715656418171565646Aspects of the NovelNaNE. M. ForsterEnglish fictionhttp://books.google.com/books/content?id=qWU9PgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiForster's lively, informed originality and wit have made this book a classic. Avoiding the chronological approach of what he calls "pseudoscholarship," he freely examines aspects all English-language novels have in common: story, people, plot, fantasy, prophecy, pattern, and rhythm. Index.2004.03.83141.010.0
680297881722352228172235224Mistaken IdentityNaNNayantara SahgalIndic fiction (English)http://books.google.com/books/content?id=q-tKPgAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiOn A Train Journey Home To North India After Long Months Of Travel Abroad, The Playboy Bhushan Singh, Son Of The Raja Of Vijaygarh, Is Arrested And Thrown Into Jail. Charged With Treason, Bhushan Finds Himself In A Filthy Prison Cell Surrounded By Elderly Trade Unionists As Innocent Of Any Political Crime, And A Jittery Government Sees Sedition Under Every Stone. As They Wait For The Trial That Never Seems To Come, Bhushan Takes Up The Role Of Scheherazade, Enthralling His Cell-Mates With Stories From His Colourful Past. He Tells Them Of His Boyhood Affair With A Beautiful Muslim Girl That Sparked Off Two Murderous Riots And Led To His Banishment Abroad. He Tells Them Of His Life In The America Of The Roaring Twenties, Of Basking Beside A Turquoise Swimming Pool, Learning The Turkey Trot And Turning Down The Chance Of A Career As A Movie Star. Obsessed With His Childhood Love, Unable To Make Any Plans For His Life Except To Find Her Again, Bhushan Returns To India To Become An Exile Nearer Home In Mumbai. He Becomes The Friend And Lover Of Syllvia, A Vibrant And Modern Parsi Girl, But Even Her Energy And Devotion Are Not Enough To Heal His Wound. As News Of Violent World Events Penetrates The Prison Wall Civil Was In Turkey, The Rise Of Mussoloni, Gandhi S Salt March, Mass Arrests, The Death Of Hunger-Strikers In Lahore Bhushan Reaches The Climax Of His Story: The Monstrous Trick He Discovers Fate Has Played On Him, And The Crime He Can Never Forget. Full Of Mystery And Gentle Humour, Mistaken Identity Is A Story Of Love And Obsession That Brilliantly Summons Up The Turmoil Of India In The Twilight Years Of Empire2003.02.93324.00.0
680397881730310148173031010Journey to the EastNaNHermann HesseAdventure storieshttp://books.google.com/books/content?id=rq6JPwAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiThis book tells the tale of a man who goes on a wonderful and amazing journey through Asia. His travels can also be seen as a parable of one person's search for enlightenment. Ever since this book's first publication in 1932, it has influenced generations of readers with its ideas on Eastern religion and Jungian psychology and its criticism of Western middleclass values.2002.03.70175.024.0
68049788179921623817992162XThe Monk Who Sold His Ferrari: A Fable About Fulfilling Your Dreams & Reaching Your DestinyNaNRobin SharmaHealth & Fitnesshttp://books.google.com/books/content?id=c_7mf7bAe6YC&printsec=frontcover&img=1&zoom=1&source=gbs_apiWisdom to Create a Life of Passion, Purpose, and Peace This inspiring tale provides a step-by-step approach to living with greater courage, balance, abundance, and joy. A wonderfully crafted fable, The Monk Who Sold His Ferrari tells the extraordinary story of Julian Mantle, a lawyer forced to confront the spiritual crisis of his out-of-balance life. On a life-changing odyssey to an ancient culture, he discovers powerful, wise, and practical lessons that teach us to: Develop joyful thoughts Follow our life's mission and calling Cultivate self-discipline and act courageously Value time as our most important commodity Nourish our relationships, and – live fully, one day at a time A FABLE ABOUT FULFILLING YOUR DREAMS AND REACHING YOUR DESTINY2003.03.82198.01568.0
680597881853005358185300534I Am thatTalks with Sri Nisargadatta MaharajSri Nisargadatta Maharaj;Sudhakar S. DikshitPhilosophyhttp://books.google.com/books/content?id=Fv_JPQAACAAJ&printsec=frontcover&img=1&zoom=1&source=gbs_apiThis collection of the timeless teachings of one of the greatest sages of India, is a testament to the uniqueness of the seer's life and work. The book (now in its ninth printing) continues to draw new audiences and to enlighten anxious seekers for self-realisation. Sri Nisargadatta Maharaj was a teacher who did not propound any ideology or religion but gently unwrapped the mystery of the self. His message is simple, direct and yet sublime. The book preserves his dialogues with the followers who came from around the world seeking guidance in destroying false identities. The sage's sole concern was with human suffering and the ending of suffering. It was his mission to guide the individual to an understanding of his true nature and the timelessness of being. He taught that mind must recognise and penetrate its own state of being, not 'being this or that, here or there, then or now', but just timeless being. This is a legacy from a unique teacher who helps the reader to a clearer understanding of himself.1999.04.51531.0104.0
680697881859446098185944601Secrets Of The HeartNaNKhalil GibranMysticismhttp://books.google.com/books/content?id=XcrVpL1byOkC&printsec=frontcover&img=1&zoom=1&source=gbs_apiNaN1993.04.0874.0324.0
680797884450748798445074873Fahrenheit 451NaNRay BradburyBook burningNaNNaN2004.03.98186.05733.0
680897890277120599027712050The Berlin PhenomenologyNaNGeorg Wilhelm Friedrich HegelHistoryhttp://books.google.com/books/content?id=Vy7SkjvmfLMC&printsec=frontcover&img=1&zoom=1&edge=curl&source=gbs_apiSince the three volume edition ofHegel's Philosophy of Subjective Spirit (1978, 19792) has been so well received, I have been encouraged to select that part of it most suitable for teaching purposes, and to publish it here as a separate work. As a teaching text, the Berlin Phenomenology has several important advan­ tages. Unlike so many ofHegel's writings, must notably theJena Phenomeno­ logy of 1807, it is concise and to the point, and concemed with issues already familiar to most students of philosophy. Since it consists for the most part of a searching and radical analysis of Kant's epistemology, Fichte's ethics and Schelling's system-building, it provides tirst-rate insight into Hegel's assessment of his immedi~te predecessors. When considered in context, as part of the Encyclopaedia if the Philosophical Sciences, it enables us to distinguish dearly between the systematic, the logical and the psychological aspects of Hegelianism, and is therefore also relevant to some of the central issues in modem phenomenology. It is to be hoped that the introduction and notes prepared for the present edition will prove helpful to both teachers and students. Every effort has been ma de to produce a thoroughly reliable ba sic text and an accurate translation. The text published in 1978 was prepared at the Hegel Archive in Bochum from photocopies, and I am most grateful to the Central Interfaculty of the Erasmus University, Rotterdam, for having made it possible for me to check the printed version against the original manuscripts.1981.00.00210.00.0
680997890420034089042003405'I'm Telling You Stories'Jeanette Winterson and the Politics of ReadingHelena Grice;Tim WoodsLiterary Criticismhttp://books.google.com/books/content?id=2lVyRH0TWugC&printsec=frontcover&img=1&zoom=1&edge=curl&source=gbs_apiThis is a jubilant and rewarding collection of Winterson scholarship--a superb group of essays from a host of fine authors.1998.03.70136.010.0